IQVIA™ is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.
Our esteemed RWS Technology group seeks to expand the product line and launch a series of additional ML & AI products over the next few years. The enthusiastic, innovative and passionate- about-intelligent-tech-solutions Product Manager will help dynamically drive our product portfolio, working collaboratively with clients and cross-functional IQVIA services teams. This involves growing current ML-led solutions and expanding into new product lines.
The exceptional candidate will work directly with the IQVIA RWS Tech leadership owning different product lines and software engineering cells, as well as working with sales & principals across global RWAS and the local business units. As part of this process, you will also work closely with the HEOR or disease teams.
You will engage with technical teams including software engineers or data scientists, manage the product strategy including initial Go-to-Market (GTM) and establish product credibility with clients before scaling through IQVIA sales and GTM teams. To be successful in this role, it may help to have experience in managing Machine Learning teams and developing or commercializing analytics applications in healthcare and life-science.
Managing the entire product line life cycle from strategic planning to tactical activities, including developing or standing up core capabilities
Driving business development and strategic commercial opportunity identification; analysing potential partner relationships and technologies for product development
Writing analysis plans for projects, contributing to RFPs, pitching ideas effectively and persuasively to clients
Using your excellent communication skills to present and translate meaningful technical concepts to lay-audiences
Specifying market requirements for current and future products by conducting market research supported by on-going visits to customers and non-customers.
Driving a solution set across development teams (primarily Development/Engineering, and Marketing Communications) through market requirements, product contract, and positioning
Developing and implementing a company-wide go-to-market plan, working with all departments to execute including driving IQVIA awareness & buy-in
Overseeing multiple concurrent successful product builds and deliver using diverse capabilities and teams - analytics, software, consulting - and ensure continuous improvements of project or product delivery
Travelling to customer and non-customer sites in North America and Europe
Building credibility such as through scientific publications, case studies or white papers.
Substantial Product Management experience, including managing intelligent solutions and working with data science teams
Strong experience managing ML, advanced or predictive analytics solutions end to end with proven delivery capability including capturing requirements, designing analysis plans, managing junior analysts / programmers / software development teams/ data scientists
Excellent commercial experience, GTM channel penetration
Understanding of and experience in implementing analytics product strategies. Qualifications a leading product management framework a plus (e.g. Pragmatic, 280Group, SVGP)
Strong knowledge of healthcare / life science issues involving Real-World Evidence or experience with patient-level, longitudinal data.
Good knowledge of Real World Data in Pharma.
Solid understanding of machine or deep learning methods, or other novel data analysis methods
Experience in data analytic products/visualisation
Experience working within an agile environment
Experience of a fast-paced, consultancy environment
Eyes for UI & UX Design
Good grasp of classical statistical methods, such as fitting regression models, inference testing and sampling
The Team: Machine Learning & AI Solutions
Our Machine Learning & AI Solutions team within the Real-World & Analytics Solutions (RWS) Technology division is a global, fast-growing group of enthusiastic, collaborative and entrepreneurial individuals. In our quest to harness the value of Real World Data (RWD), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.
This high-profile team works on ground-breaking problems in health outcomes across disease areas including Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of rare conditions. The team works hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWAS team, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.
Our approach is unique in the industry and is defining the way companies can develop and apply patient-level RWD to provide deeper insight about disease, therapy area changes, outcomes research and other scientific insights.
IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.
Making a positive impact on human health takes insight, curiosity, and intellectual courage. It takes brave minds, pushing the boundaries to transform healthcare. Regardless of your role, you will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve outcomes for patients.
Forge a career with greater purpose, make an impact, and never stop learning.